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      name:  <unnamed>
       log:  C:\Users\fosterdm\Dropbox\isa17\KellerGrantFoster_LOG.log
  log type:  text
 opened on:  14 Nov 2018, 09:29:43

. use "C:\Users\fosterdm\Dropbox\isa17\KellerGrantFoster.dta", clear

. nbreg _interv dempres election unified misery monthsin qtrgrw cap mid numstate LOC_ovr, robust

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -743.85801  
Iteration 1:   log pseudolikelihood =  -743.0426  
Iteration 2:   log pseudolikelihood = -743.03991  
Iteration 3:   log pseudolikelihood = -743.03991  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -735.04351  
Iteration 1:   log pseudolikelihood = -731.90475  
Iteration 2:   log pseudolikelihood =  -731.6221  
Iteration 3:   log pseudolikelihood = -731.62167  
Iteration 4:   log pseudolikelihood = -731.62167  

Fitting full model:

Iteration 0:   log pseudolikelihood = -704.68026  
Iteration 1:   log pseudolikelihood = -699.49741  
Iteration 2:   log pseudolikelihood = -699.31855  
Iteration 3:   log pseudolikelihood = -699.31844  
Iteration 4:   log pseudolikelihood = -699.31844  

Negative binomial regression                      Number of obs   =        648
Dispersion           = mean                       Wald chi2(10)   =      61.78
Log pseudolikelihood = -699.31844                 Prob > chi2     =     0.0000

------------------------------------------------------------------------------
             |               Robust
_intervent~n |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     dempres |   .2069869    .181535     1.14   0.254    -.1488152     .562789
    election |  -.6459582   .3611801    -1.79   0.074    -1.353858    .0619418
     unified |  -.1553376   .1909792    -0.81   0.416    -.5296501    .2189748
      misery |   .0663485    .019446     3.41   0.001     .0282351    .1044619
monthsinof~e |   .0025659   .0026521     0.97   0.333    -.0026321     .007764
      qtrgrw |   13.05792   5.450838     2.40   0.017     2.374475    23.74137
         cap |   7.679147   3.572272     2.15   0.032     .6776215    14.68067
         mid |   .0141669   .0163371     0.87   0.386    -.0178532     .046187
    numstate |  -.0010067   .0055374    -0.18   0.856    -.0118599    .0098464
     LOC_ovr |   8.326838   2.630954     3.16   0.002     3.170263    13.48341
       _cons |  -6.580483     1.9575    -3.36   0.001    -10.41711   -2.743854
-------------+----------------------------------------------------------------
    /lnalpha |  -.0079419   .1633953                     -.3281909    .3123071
-------------+----------------------------------------------------------------
       alpha |   .9920896   .1621028                      .7202255    1.366574
------------------------------------------------------------------------------

. nbreg _unil dempres election unified misery monthsin qtrgrw cap mid numstate LOC_ovr, robust

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -669.43171  
Iteration 1:   log pseudolikelihood = -669.02984  
Iteration 2:   log pseudolikelihood =   -669.029  
Iteration 3:   log pseudolikelihood =   -669.029  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -661.07488  
Iteration 1:   log pseudolikelihood =  -656.2547  
Iteration 2:   log pseudolikelihood = -653.88264  
Iteration 3:   log pseudolikelihood =  -653.8804  
Iteration 4:   log pseudolikelihood =  -653.8804  

Fitting full model:

Iteration 0:   log pseudolikelihood = -628.64087  
Iteration 1:   log pseudolikelihood = -623.26399  
Iteration 2:   log pseudolikelihood = -622.92799  
Iteration 3:   log pseudolikelihood = -622.92747  
Iteration 4:   log pseudolikelihood = -622.92747  

Negative binomial regression                      Number of obs   =        648
Dispersion           = mean                       Wald chi2(10)   =      56.45
Log pseudolikelihood = -622.92747                 Prob > chi2     =     0.0000

------------------------------------------------------------------------------
             |               Robust
 _unilateral |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     dempres |   .0875265   .1991704     0.44   0.660    -.3028402    .4778932
    election |  -.9235696   .3985604    -2.32   0.020    -1.704734   -.1424055
     unified |   .0752003   .2132013     0.35   0.724    -.3426665    .4930671
      misery |   .0598609   .0221934     2.70   0.007     .0163627    .1033592
monthsinof~e |   .0054233   .0028264     1.92   0.055    -.0001162    .0109629
      qtrgrw |    15.1138   6.493435     2.33   0.020     2.386898     27.8407
         cap |   3.652582   4.008267     0.91   0.362    -4.203476    11.50864
         mid |   .0307172    .016897     1.82   0.069    -.0024003    .0638348
    numstate |  -.0065816   .0061273    -1.07   0.283    -.0185908    .0054277
     LOC_ovr |   9.256021   2.916702     3.17   0.002     3.539389    14.97265
       _cons |  -6.007848   2.234151    -2.69   0.007     -10.3867   -1.628993
-------------+----------------------------------------------------------------
    /lnalpha |    .218551   .1722315                     -.1190165    .5561186
-------------+----------------------------------------------------------------
       alpha |   1.244272   .2143029                      .8877931    1.743891
------------------------------------------------------------------------------

. nbreg _multil dempres election unified misery monthsin qtrgrw cap mid numstate LOC_ovr, robust

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -228.97953  
Iteration 1:   log pseudolikelihood = -223.70924  
Iteration 2:   log pseudolikelihood = -223.67254  
Iteration 3:   log pseudolikelihood = -223.67252  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -234.05974  (not concave)
Iteration 1:   log pseudolikelihood = -225.57093  
Iteration 2:   log pseudolikelihood = -224.33633  
Iteration 3:   log pseudolikelihood = -224.16773  
Iteration 4:   log pseudolikelihood = -224.16734  
Iteration 5:   log pseudolikelihood = -224.16734  

Fitting full model:

Iteration 0:   log pseudolikelihood = -213.58533  
Iteration 1:   log pseudolikelihood =  -210.4751  
Iteration 2:   log pseudolikelihood =  -210.2345  
Iteration 3:   log pseudolikelihood = -210.23393  
Iteration 4:   log pseudolikelihood = -210.23393  

Negative binomial regression                      Number of obs   =        648
Dispersion           = mean                       Wald chi2(10)   =      33.57
Log pseudolikelihood = -210.23393                 Prob > chi2     =     0.0002

------------------------------------------------------------------------------
             |               Robust
_multilate~l |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     dempres |   .5599747   .4191568     1.34   0.182    -.2615575    1.381507
    election |   .2446156    .622452     0.39   0.694    -.9753679    1.464599
     unified |   -.747375   .4088413    -1.83   0.068    -1.548689    .0539391
      misery |   .0941961   .0570161     1.65   0.099    -.0175534    .2059456
monthsinof~e |  -.0102796   .0062155    -1.65   0.098    -.0224618    .0019026
      qtrgrw |   2.009937   12.72446     0.16   0.874    -22.92954    26.94942
         cap |    23.5486   8.109976     2.90   0.004     7.653339    39.44386
         mid |  -.0463237   .0407678    -1.14   0.256    -.1262271    .0335798
    numstate |    .021784   .0121415     1.79   0.073    -.0020128    .0455808
     LOC_ovr |   .9018632   7.533675     0.12   0.905    -13.86387    15.66759
       _cons |  -10.14793   4.763917    -2.13   0.033    -19.48504   -.8108241
-------------+----------------------------------------------------------------
    /lnalpha |    1.17309   .3392707                       .508132    1.838049
-------------+----------------------------------------------------------------
       alpha |   3.231965   1.096511                      1.662183    6.284264
------------------------------------------------------------------------------

. nbreg _with_igo pres election unified misery monthsin qtrgrw cap mid numstate LOC_ovr, robust

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -157.49806  
Iteration 1:   log pseudolikelihood = -142.36074  
Iteration 2:   log pseudolikelihood = -139.35909  
Iteration 3:   log pseudolikelihood = -139.30916  
Iteration 4:   log pseudolikelihood = -139.30908  
Iteration 5:   log pseudolikelihood = -139.30908  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -152.61037  (not concave)
Iteration 1:   log pseudolikelihood = -128.10463  
Iteration 2:   log pseudolikelihood = -126.86519  
Iteration 3:   log pseudolikelihood = -126.85167  
Iteration 4:   log pseudolikelihood = -126.85167  

Fitting full model:

Iteration 0:   log pseudolikelihood = -120.60687  
Iteration 1:   log pseudolikelihood = -115.47301  
Iteration 2:   log pseudolikelihood =   -115.003  
Iteration 3:   log pseudolikelihood = -115.00044  
Iteration 4:   log pseudolikelihood = -115.00044  

Negative binomial regression                      Number of obs   =        648
Dispersion           = mean                       Wald chi2(10)   =      54.44
Log pseudolikelihood = -115.00044                 Prob > chi2     =     0.0000

------------------------------------------------------------------------------
             |               Robust
   _with_igo |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   president |  -.7868885   .3788537    -2.08   0.038    -1.529428   -.0443489
    election |   .6656297   .6387903     1.04   0.297    -.5863764    1.917636
     unified |   .0225037   .5305564     0.04   0.966    -1.017368    1.062375
      misery |   .1592532   .0871993     1.83   0.068    -.0116543    .3301606
monthsinof~e |   .0019773    .008988     0.22   0.826    -.0156389    .0195936
      qtrgrw |  -1.688805    16.7566    -0.10   0.920    -34.53114    31.15353
         cap |   42.44258   10.80629     3.93   0.000     21.26264    63.62252
         mid |  -.1817286   .0529836    -3.43   0.001    -.2855745   -.0778827
    numstate |   .1137594      .0408     2.79   0.005      .033793    .1937259
     LOC_ovr |   5.766852   9.501535     0.61   0.544    -12.85581    24.38952
       _cons |  -24.42638   7.463673    -3.27   0.001    -39.05491   -9.797853
-------------+----------------------------------------------------------------
    /lnalpha |   2.503354   .3871552                      1.744544    3.262165
-------------+----------------------------------------------------------------
       alpha |   12.22343   4.732363                      5.723291    26.10598
------------------------------------------------------------------------------

. nbreg _help dempres election unified misery monthsin qtrgrw cap mid numstate LOC_ovr, robust

Fitting Poisson model:

Iteration 0:   log pseudolikelihood =  -265.4097  
Iteration 1:   log pseudolikelihood = -265.09554  
Iteration 2:   log pseudolikelihood = -265.09536  
Iteration 3:   log pseudolikelihood = -265.09536  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -271.53747  (not concave)
Iteration 1:   log pseudolikelihood = -252.74724  
Iteration 2:   log pseudolikelihood = -251.38743  
Iteration 3:   log pseudolikelihood = -251.35275  
Iteration 4:   log pseudolikelihood = -251.35274  

Fitting full model:

Iteration 0:   log pseudolikelihood = -241.16018  
Iteration 1:   log pseudolikelihood = -234.60932  
Iteration 2:   log pseudolikelihood =  -234.4815  
Iteration 3:   log pseudolikelihood = -234.48109  
Iteration 4:   log pseudolikelihood = -234.48109  

Negative binomial regression                      Number of obs   =        648
Dispersion           = mean                       Wald chi2(10)   =      42.11
Log pseudolikelihood = -234.48109                 Prob > chi2     =     0.0000

------------------------------------------------------------------------------
             |               Robust
  _help_ally |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     dempres |  -.8882211   .4010432    -2.21   0.027    -1.674251   -.1021909
    election |  -.4832577   .5548731    -0.87   0.384    -1.570789    .6042736
     unified |   .9157239   .4270582     2.14   0.032     .0787052    1.752743
      misery |   .0184089   .0518271     0.36   0.722    -.0831704    .1199881
monthsinof~e |  -.0016816    .005953    -0.28   0.778    -.0133493    .0099861
      qtrgrw |   7.654375   14.28741     0.54   0.592    -20.34844    35.65719
         cap |  -23.25392   9.913644    -2.35   0.019     -42.6843    -3.82353
         mid |   .0553067   .0380197     1.45   0.146    -.0192106    .1298239
    numstate |  -.0542579   .0159077    -3.41   0.001    -.0854364   -.0230795
     LOC_ovr |   .9140232    7.15343     0.13   0.898    -13.10644    14.93449
       _cons |   8.091609    5.20276     1.56   0.120    -2.105614    18.28883
-------------+----------------------------------------------------------------
    /lnalpha |   1.548408   .3281854                      .9051768     2.19164
-------------+----------------------------------------------------------------
       alpha |   4.703978   1.543777                      2.472369    8.949879
------------------------------------------------------------------------------

. nbreg _harm dempres election unified misery monthsin qtrgrw cap mid numstate LOC_ovr, robust

Fitting Poisson model:

Iteration 0:   log pseudolikelihood = -417.51008  
Iteration 1:   log pseudolikelihood = -416.99071  
Iteration 2:   log pseudolikelihood = -416.97903  
Iteration 3:   log pseudolikelihood = -416.97899  

Fitting constant-only model:

Iteration 0:   log pseudolikelihood = -428.93162  
Iteration 1:   log pseudolikelihood = -417.69064  
Iteration 2:   log pseudolikelihood = -416.92282  
Iteration 3:   log pseudolikelihood = -416.92098  
Iteration 4:   log pseudolikelihood = -416.92098  

Fitting full model:

Iteration 0:   log pseudolikelihood = -397.20443  
Iteration 1:   log pseudolikelihood = -391.36333  
Iteration 2:   log pseudolikelihood = -390.38644  
Iteration 3:   log pseudolikelihood = -390.38323  
Iteration 4:   log pseudolikelihood = -390.38323  

Negative binomial regression                      Number of obs   =        648
Dispersion           = mean                       Wald chi2(10)   =      66.88
Log pseudolikelihood = -390.38323                 Prob > chi2     =     0.0000

------------------------------------------------------------------------------
             |               Robust
 _harm_rival |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
     dempres |  -.5362941   .2885883    -1.86   0.063    -1.101917    .0293285
    election |  -2.582175   .9957059    -2.59   0.010    -4.533723   -.6306278
     unified |   .3200208   .2865923     1.12   0.264    -.2416898    .8817315
      misery |   .0695049   .0288643     2.41   0.016      .012932    .1260778
monthsinof~e |   .0099092    .004036     2.46   0.014     .0019988    .0178196
      qtrgrw |   17.37419   8.715722     1.99   0.046     .2916934     34.4567
         cap |   1.573191   5.513244     0.29   0.775    -9.232569    12.37895
         mid |  -.0092756   .0234726    -0.40   0.693    -.0552811    .0367298
    numstate |  -.0118198   .0091234    -1.30   0.195    -.0297013    .0060617
     LOC_ovr |    12.9896   4.228856     3.07   0.002     4.701197    21.27801
       _cons |  -6.912225   2.995828    -2.31   0.021    -12.78394   -1.040511
-------------+----------------------------------------------------------------
    /lnalpha |   .7041284   .2400769                      .2335864     1.17467
-------------+----------------------------------------------------------------
       alpha |   2.022083   .4854555                      1.263122    3.237076
------------------------------------------------------------------------------

. log close
      name:  <unnamed>
       log:  C:\Users\fosterdm\Dropbox\isa17\KellerGrantFoster_LOG.log
  log type:  text
 closed on:  14 Nov 2018, 09:34:03
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
